Retrieval Augmented Generation Rag Jobs in Merrillville, IN

The ideal candidate will bring deep expertise in Python, FastAPI, and Retrieval-Augmented Generation (RAG) solutions, with hands-on experience deploying scalable AI applications on Azure. This role ...

Build intelligent solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow orchestration technologies. * Develop scalable backend services, REST ...

Build intelligent solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow orchestration technologies. * Develop scalable backend services, REST ...

Familiarity with large language models, retrieval-augmented generation (RAG), vector search, agent-based architectures, and conversational AI experiences. * Experience working with cloud platforms ...

This position combines deep hands-on expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI architectures with strong technical leadership to deliver secure ...

Familiarity with large language models, retrieval-augmented generation (RAG), vector search, agent-based architectures, and conversational AI experiences. * Experience working with cloud platforms ...

Retrieval-Augmented Generation (RAG) pipelines, semantic caching, and context window optimization. * Function calling, tool use, and structured data extraction schemas. * Evaluation metrics, tracing ...

Retrieval-Augmented Generation (RAG) * Cloud Platforms (AWS, Google Cloud Platform, or Azure) * SQL and / or NoSQL Databases Desired Skills & Experience * 3+ years of software engineering experience ...

Key Responsibilities 1. Architecture Design Build enterprise Generative and Agentic AI platforms featuring high-performance RAG (Retrieval-Augmented Generation) pipelines and vector database ...

Key Responsibilities 1. Architecture Design Build enterprise Generative and Agentic AI platforms featuring high-performance RAG (Retrieval-Augmented Generation) pipelines and vector database ...

Exposure to Retrieval-Augmented Generation (RAG) models for dynamic, context-aware responses * Designed and deployed chatbot solutions across web and mobile platforms * Cloud Architecture: * Strong ...

... Retrieval-Augmented Generation (RAG) solutions and document intelligence applications. • Integrate LLMs with ML models, enterprise data, APIs, and business workflows. • Develop AI-enabled ...

Support Retrieval-Augmented Generation (RAG) and enterprise knowledge management solutions by integrating structured and unstructured data sources. * Configure workflow orchestration, permissions ...

Retrieval-Augmented Generation (RAG) pipelines, semantic caching, and context window optimization. * Function calling, tool use, and structured data extraction schemas. * Evaluation metrics, tracing ...

Retrieval-Augmented Generation (RAG), embeddings, and multi-step workflows operating on governed enterprise data * A governed AI asset marketplace and Model Context Protocol (MCP) catalog covering ...

Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines to improve response quality and domain-specific knowledge retrieval. * Conduct model evaluation, prompt engineering, and ...

Design and implement Retrieval-Augmented Generation (RAG) architectures using enterprise data. * Work with Amazon Bedrock foundation models and develop prompt engineering and model orchestration ...

Build intelligent solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow orchestration technologies. * Develop scalable backend services, REST ...

Exposure to Retrieval-Augmented Generation (RAG) models for dynamic, context-aware responsesa * Designed and deployed chatbot solutions across web and mobile platforms * Cloud Architecture: * Strong ...

Retrieval-Augmented Generation (RAG) architectures * Prompt engineering techniques * Agentic AI workflows and orchestration * Build intelligent systems using frameworks such as LangChain, LangGraph ...